Search (98 results, page 1 of 5)

  • × theme_ss:"Wissensrepräsentation"
  1. Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019) 0.33 
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    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  2. Xiong, C.: Knowledge based text representations for information retrieval (2016) 0.30 
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    Content
    Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Language and Information Technologies. Vgl.: https%3A%2F%2Fwww.cs.cmu.edu%2F~cx%2Fpapers%2Fknowledge_based_text_representation.pdf&usg=AOvVaw0SaTSvhWLTh__Uz_HtOtl3.
  3. Stojanovic, N.: Ontology-based Information Retrieval : methods and tools for cooperative query answering (2005) 0.22 
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    Content
    Vgl.: http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F1627&ei=tAtYUYrBNoHKtQb3l4GYBw&usg=AFQjCNHeaxKkKU3-u54LWxMNYGXaaDLCGw&sig2=8WykXWQoDKjDSdGtAakH2Q&bvm=bv.44442042,d.Yms.
  4. Priss, U.: Faceted knowledge representation (1999) 0.05 
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    Abstract
    Faceted Knowledge Representation provides a formalism for implementing knowledge systems. The basic notions of faceted knowledge representation are "unit", "relation", "facet" and "interpretation". Units are atomic elements and can be abstract elements or refer to external objects in an application. Relations are sequences or matrices of 0 and 1's (binary matrices). Facets are relational structures that combine units and relations. Each facet represents an aspect or viewpoint of a knowledge system. Interpretations are mappings that can be used to translate between different representations. This paper introduces the basic notions of faceted knowledge representation. The formalism is applied here to an abstract modeling of a faceted thesaurus as used in information retrieval.
    Date
    22. 1.2016 17:30:31
  5. Tudhope, D.; Hodge, G.: Terminology registries (2007) 0.02 
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    Date
    26.12.2011 13:22:07
    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  6. Machado, L.; Veronez Júnior, W.R.; Martínez-Ávila, D.: ¬A indeterminação ontológica dos conceitos : interpretações linguísticas e psicológicas [The ontologic indetermination of concepts: linguistic and psychological interpretations] (2022) 0.02 
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  7. Guizzardi, G.; Guarino, N.: Semantics, ontology and explanation (2023) 0.02 
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    Abstract
    The terms 'semantics' and 'ontology' are increasingly appearing together with 'explanation', not only in the scientific literature, but also in organizational communication. However, all of these terms are also being significantly overloaded. In this paper, we discuss their strong relation under particular interpretations. Specifically, we discuss a notion of explanation termed ontological unpacking, which aims at explaining symbolic domain descriptions (conceptual models, knowledge graphs, logical specifications) by revealing their ontological commitment in terms of their assumed truthmakers, i.e., the entities in one's ontology that make the propositions in those descriptions true. To illustrate this idea, we employ an ontological theory of relations to explain (by revealing the hidden semantics of) a very simple symbolic model encoded in the standard modeling language UML. We also discuss the essential role played by ontology-driven conceptual models (resulting from this form of explanation processes) in properly supporting semantic interoperability tasks. Finally, we discuss the relation between ontological unpacking and other forms of explanation in philosophy and science, as well as in the area of Artificial Intelligence.
  8. Boteram, F.: Semantische Relationen in Dokumentationssprachen : vom Thesaurus zum semantischen Netz (2010) 0.01 
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    Source
    Wissensspeicher in digitalen Räumen: Nachhaltigkeit - Verfügbarkeit - semantische Interoperabilität. Proceedings der 11. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Konstanz, 20. bis 22. Februar 2008. Hrsg.: J. Sieglerschmidt u. H.P.Ohly
    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  9. Hohmann, G.: ¬Die Anwendung des CIDOC-CRM für die semantische Wissensrepräsentation in den Kulturwissenschaften (2010) 0.01 
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    Source
    Wissensspeicher in digitalen Räumen: Nachhaltigkeit - Verfügbarkeit - semantische Interoperabilität. Proceedings der 11. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Konstanz, 20. bis 22. Februar 2008. Hrsg.: J. Sieglerschmidt u. H.P.Ohly
  10. Müller, T.: Wissensrepräsentation mit semantischen Netzen im Bereich Luftfahrt (2006) 0.01 
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    Date
    26. 9.2006 21:00:22
    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  11. Will, L.D.: UML model : as given in British Standard Draft for Development DD8723-5:2008 (2008) 0.01 
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  12. Dextre Clarke, S.G.; Will, L.D.; Cochard, N.: ¬The BS8723 thesaurus data model and exchange format, and its relationship to SKOS (2008) 0.01 
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  13. Schöndorf, P.: Nicht-konventionelle Thesaurusrelationen als Orientierungshilfen für Indexierung und Recherche: Analyse ausgewählter Beispiele (1988) 0.01 
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  14. Hannech, A.: Système de recherche d'information étendue basé sur une projection multi-espaces (2018) 0.01 
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    Abstract
    However, this assumption does not hold in all cases, the needs of the user evolve over time and can move away from his previous interests stored in his profile. In other cases, the user's profile may be misused to extract or infer new information needs. This problem is much more accentuated with ambiguous queries. When multiple POIs linked to a search query are identified in the user's profile, the system is unable to select the relevant data from that profile to respond to that request. This has a direct impact on the quality of the results provided to this user. In order to overcome some of these limitations, in this research thesis, we have been interested in the development of techniques aimed mainly at improving the relevance of the results of current SRIs and facilitating the exploration of major collections of documents. To do this, we propose a solution based on a new concept and model of indexing and information retrieval called multi-spaces projection. This proposal is based on the exploitation of different categories of semantic and social information that enrich the universe of document representation and search queries in several dimensions of interpretations. The originality of this representation is to be able to distinguish between the different interpretations used for the description and the search for documents. This gives a better visibility on the results returned and helps to provide a greater flexibility of search and exploration, giving the user the ability to navigate one or more views of data that interest him the most. In addition, the proposed multidimensional representation universes for document description and search query interpretation help to improve the relevance of the user's results by providing a diversity of research / exploration that helps meet his diverse needs and those of other different users. This study exploits different aspects that are related to the personalized search and aims to solve the problems caused by the evolution of the information needs of the user. Thus, when the profile of this user is used by our system, a technique is proposed and used to identify the interests most representative of his current needs in his profile. This technique is based on the combination of three influential factors, including the contextual, frequency and temporal factor of the data. The ability of users to interact, exchange ideas and opinions, and form social networks on the Web, has led systems to focus on the types of interactions these users have at the level of interaction between them as well as their social roles in the system. This social information is discussed and integrated into this research work. The impact and how they are integrated into the IR process are studied to improve the relevance of the results.
  15. Andelfinger, U.; Wyssusek, B.; Kremberg, B.; Totzke, R.: Ontologies in knowledge management : panacea or mirage? 0.01 
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    Content
    In diesem Sinne könnte auch Wissensaustausch und Wissensmanagement in Organisationen auf Basis (technischer) Ontologien eine neue Bedeutung erhalten im Sinne einer gezielten Ermöglichung sozialer Austauschprozesse unter Nutzung formaler Wissensrepräsentationen statt der technologiezentrierten Sichtweise, wonach bereits das Wissensrepräsentationssystem mit Wissensaustausch gleichzusetzen wäre. Letztlich haben die in (formalen) Wissensrepräsentationssystemen dargestellten technischen Ontologien alleine nämlich keine tiefere Bedeutung und auch keinen Sinn. Beides entsteht erst durch eine entsprechende Einbettung und Interpretation dieser Repräsentationen in konkreten lebensweltlichen Zusammenhängen. Und was die Menschen in diesem Interpretations-und Rekontextualisierungsprozess dann aus den zeichenvermittelten technischen Ontologien machen, ist glücklicherweise eine Frage, die sich einer vollständigen Behandlung und Abbildung in technischen Ontologien entzieht."
  16. Stock, W.: Begriffe und semantische Relationen in der Wissensrepräsentation (2009) 0.01 
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    Abstract
    Begriffsorientiertes Information Retrieval bedarf einer informationswissenschaftlichen Theorie der Begriffe sowie der semantischen Relationen. Ein Begriff wird durch seine Intension und Extension sowie durch Definitionen bestimmt. Dem Problem der Vagheit begegnen wir durch die Einführung von Prototypen. Wichtige Definitionsarten sind die Begriffserklärung (nach Aristoteles) und die Definition über Familienähnlichkeiten (im Sinne Wittgensteins). Wir modellieren Begriffe als Frames (in der Version von Barsalou). Die zentrale paradigmatische Relation in Wissensordnungen ist die Hierarchie, die in verschiedene Arten zu gliedern ist: Hyponymie zerfällt in die Taxonomie und die einfache Hyponymie, Meronymie in eine ganze Reihe unterschiedlicher Teil-Ganzes-Beziehungen. Wichtig für praktische Anwendungen ist die Transitivität der jeweiligen Relation. Eine unspezifische Assoziationsrelation ist bei den angepeilten Anwendungen wenig hilfreich und wird durch ein Bündel von generalisierbaren und fachspezifischen Relationen ersetzt. Unser Ansatz fundiert neue Optionen der Anwendung von Wissensordnungen in der Informationspraxis neben ihrem "klassischen" Einsatz beim Information Retrieval: Erweiterung von Suchanfragen (Anwendung der semantischen Nähe), automatisches Schlussfolgern (Anwendung der terminologischen Logik in Vorbereitung eines semantischen Web) und automatische Berechnungen (bei Funktionalbegriffen mit numerischen Wertangaben).
  17. Kienreich, W.; Strohmaier, M.: Wissensmodellierung - Basis für die Anwendung semantischer Technologien (2006) 0.01 
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    Abstract
    Der Transfer und die Nutzung von Wissen stellen ein zentrales Thema hei der Anwendung semantischer Technologien dar. In diesem Zusammenhang befasst sich das Gebiet der Wissensmodellierung mit der Explizierung von Wissen in formale, sowohl von Menschen als auch von Maschinen interpretierbare, Form. Ziel dieses Beitrags ist es aufzuzeigen. wie Methoden der Wissensmodellierung die Grundlage für die Gestaltung von Anwendungen auf Basis semantischer Technologien bilden. Der Beitrag liefert eine Definition eines Wissensbegriffs, erklärt eine Reihe von Formen der abstrakten Wissensrepräsentation und führt ein Kategorisierungsschema für aktuelle Ansätze zur Modellierung ein. Anschließend wird ein Überblick über agenten- und prozessorientierte Modellierungsansätze gegeben. die sowohl auf die Abbildung der realen Welt als auch auf die Abbildung von Software eingehen.
  18. Studer, R.; Studer, H.-P.; Studer, A.: Semantisches Knowledge Retrieval (2001) 0.01 
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    Content
    Inhalt: 1. Einführung - 2. Wissensmanagement - 3. Information Retrieval - 3.1. Methoden und Techniken - 3.2. Information Retrieval in der Anwendung - 4. Semantische Ansätze - 4.1. Wissen modellieren - Ontologie - 4.2. Neues Wissen inferieren - 5. Knowledge Retrieval in der Anwendung - 6. Zukunftsaussichten - 7. Fazit
  19. Hüsken, P.: Informationssuche im Semantic Web : Methoden des Information Retrieval für die Wissensrepräsentation (2006) 0.01 
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    Abstract
    Das Semantic Web bezeichnet ein erweitertes World Wide Web (WWW), das die Bedeutung von präsentierten Inhalten in neuen standardisierten Sprachen wie RDF Schema und OWL modelliert. Diese Arbeit befasst sich mit dem Aspekt des Information Retrieval, d.h. es wird untersucht, in wie weit Methoden der Informationssuche sich auf modelliertes Wissen übertragen lassen. Die kennzeichnenden Merkmale von IR-Systemen wie vage Anfragen sowie die Unterstützung unsicheren Wissens werden im Kontext des Semantic Web behandelt. Im Fokus steht die Suche nach Fakten innerhalb einer Wissensdomäne, die entweder explizit modelliert sind oder implizit durch die Anwendung von Inferenz abgeleitet werden können. Aufbauend auf der an der Universität Duisburg-Essen entwickelten Retrievalmaschine PIRE wird die Anwendung unsicherer Inferenz mit probabilistischer Prädikatenlogik (pDatalog) implementiert.
  20. Hüsken, P.: Information Retrieval im Semantic Web (2006) 0.01 
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    Abstract
    Das Semantic Web bezeichnet ein erweitertes World Wide Web (WWW), das die Bedeutung von präsentierten Inhalten in neuen standardisierten Sprachen wie RDF Schema und OWL modelliert. Diese Arbeit befasst sich mit dem Aspekt des Information Retrieval, d.h. es wird untersucht, in wie weit Methoden der Informationssuche sich auf modelliertes Wissen übertragen lassen. Die kennzeichnenden Merkmale von IR-Systemen wie vage Anfragen sowie die Unterstützung unsicheren Wissens werden im Kontext des Semantic Web behandelt. Im Fokus steht die Suche nach Fakten innerhalb einer Wissensdomäne, die entweder explizit modelliert sind oder implizit durch die Anwendung von Inferenz abgeleitet werden können. Aufbauend auf der an der Universität Duisburg-Essen entwickelten Retrievalmaschine PIRE wird die Anwendung unsicherer Inferenz mit probabilistischer Prädikatenlogik (pDatalog) implementiert.

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